ArticlePloS one2013
Real-Time Localization of Moving Dipole Sources for Tracking Multiple Free-Swimming Weakly Electric Fish.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
11 citing papers in PubMed.
- Integrating deep learning 3D tracking and biophysical EOD modeling for precise, noninvasive computational neuroethology in freely swimming weakly electric fish.Frontiers in computational neuroscience · 2026Article
- Tracking spatial patterns and daily modulation of behavior in a natural population of the pulse-type weakly electric fish,iScience · 2025Article
- Visualization of electric fields and associated behavior in fish and other aquatic animals.Behavior research methods · 2024Article
- Advances in non-invasive tracking of wave-type electric fish in natural and laboratory settings.Frontiers in integrative neuroscience · 2022Article
- The Use of Supervised Learning Models in Studying Agonistic Behavior and Communication in Weakly Electric Fish.Frontiers in behavioral neuroscience · 2021Article
- Dominance in Habitat Preference and Diurnal Explorative Behavior of the Weakly Electric FishFrontiers in integrative neuroscience · 2019Article
- High-resolution behavioral mapping of electric fishes in Amazonian habitats.Scientific reports · 2018Article
- Active sensing associated with spatial learning reveals memory-based attention in an electric fish.Journal of neurophysiology · 2016Article
- Ultrafast traveling wave dominates the electric organ discharge of Apteronotus leptorhynchus: an inverse modelling study.Scientific reports · 2015Article
- Long-term behavioral tracking of freely swimming weakly electric fish.Journal of visualized experiments : JoVE · 2014Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
Abstract
In order to survive, animals must quickly and accurately locate prey, predators, and conspecifics using the signals they generate. The signal source location can be estimated using multiple detectors and the inverse relationship between the received signal intensity (RSI) and the distance, but difficulty of the source localization increases if there is an additional dependence on the orientation of a signal source. In such cases, the signal source could be approximated as an ideal dipole for simplification. Based on a theoretical model, the RSI can be directly predicted from a known dipole location; but estimating a dipole location from RSIs has no direct analytical solution. Here, we propose an efficient solution to the dipole localization problem by using a lookup table (LUT) to store RSIs predicted by our theoretically derived dipole model at many possible dipole positions and orientations. For a given set of RSIs measured at multiple detectors, our algorithm found a dipole location having the closest matching normalized RSIs from the LUT, and further refined the location at higher resolution. Studying the natural behavior of weakly electric fish (WEF) requires efficiently computing their location and the temporal pattern of their electric signals over extended periods. Our dipole localization method was successfully applied to track single or multiple freely swimming WEF in shallow water in real-time, as each fish could be closely approximated by an ideal current dipole in two dimensions. Our optimized search algorithm found the animal's positions, orientations, and tail-bending angles quickly and accurately under various conditions, without the need for calibrating individual-specific parameters. Our dipole localization method is directly applicable to studying the role of active sensing during spatial navigation, or social interactions between multiple WEF. Furthermore, our method could be extended to other application areas involving dipole source localization.
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